Your area of work:

Work on varied projects defining / refining the AI approaches and delivering the resulting pipelines in line with internal architecture standards and group AI governance.

Your responsibilities:

• Translate business requirements into AI-driven solutions in close collaboration with product owners and domain expert(s)
• Build and maintain scalable data pipelines for model fine-tuning and inference.
• Develop prompt engineering strategies, RAG architecture, and agent workflows for GenAI use cases; with willingness to demo solutions to internal clients.
• Design and Integrate AI/LLM capabilities into enterprise applications and low-code platforms.
• Define KPIs, and bias/robustness checks.
• Evaluate and benchmark foundation models, frameworks, and third-party AI services for fit-for-purpose use
• Implement AI Ops practices (versioning, testing, monitoring, drift alerts).
• Ensure solutions meet enterprise standards for security, data privacy, and compliance (especially relevant in a regulated financial environment).
• Produce documentation for AID/InfoSec and support audits/compliance.

Your profile:

• Bachelor’s or Master’s degree in Computer science, Data Science, Mathematics, or a related field
• 3+ years in AI engineering (Python, ADK, Vector stores/embeddings).
• Prompt engineering, Retrieval‑augmented generation (RAG), evaluation harnesses.
• Proven track record of delivering AI solutions end-to-end — from ideation and prototyping through to production deployment
• Familiarity with governance, model registers, and risk controls for AI.
• Experience working in an enterprise or regulated industry environment (financial services preferred)
• Exposure to agile delivery methods and cross-functional team collaboration
• Proficiency in written and spoken English

Would be an advantage

• Experience with model serving and AI Ops on cloud (GCP preferred).
• Strong problem-solving skills with the ability to translate complex business needs into technical solutions
• Clear communicator — able to explain AI concepts and trade-offs to non-technical stakeholders
• Self-driven, with a proactive approach to staying current with rapidly evolving AI tooling and research
• High attention to detail, particularly around data quality, security, and compliance considerations

You can look forward to our benefit package:

• Hybrid Work and Flexible working hours
• Work from abroad - 12 days of remote work from EU countries per year
• Group Share Plan - discount on company shares
• Pension fund contribution - 3% of your gross salary (5% after 5 years with us)
• Health & Wellbeing - fully covered Multisport card, life & accident insurance, sick days and 100% salary contribution during sick leave (up to 56 days)
• 25 vacation days
• Mobility - fully covered public transport in Prague & free parking
• Flexible Benefit Account (Pluxee) - 1200 per month
• Free Access to E-Learning Platforms, Internal Development Programs, Mentoring & Learning Budget